TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification F Barbieri, J Camacho-Collados, L Neves, L Espinosa-Anke Findings of EMNLP, 2020 | 280 | 2020 |
Data Augmentation for Graph Neural Networks T Zhao, Y Liu, L Neves, O Woodford, M Jiang, N Shah AAAI, 2020 | 190 | 2020 |
Visual attention model for name tagging in multimodal social media D Lu, L Neves, V Carvalho, N Zhang, H Ji Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 107 | 2018 |
Multimodal named entity recognition for short social media posts S Moon, L Neves, V Carvalho NAACL 2018, 2018 | 96 | 2018 |
Audio-based multimedia event detection using deep recurrent neural networks Y Wang, L Neves, F Metze 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 91 | 2016 |
Multimodal named entity disambiguation for noisy social media posts S Moon, L Neves, V Carvalho Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 67 | 2018 |
Visual features for context-aware speech recognition A Gupta, Y Miao, L Neves, F Metze 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 48 | 2017 |
Timelms: Diachronic language models from twitter D Loureiro, F Barbieri, L Neves, LE Anke, J Camacho-Collados arXiv preprint arXiv:2202.03829, 2022 | 45 | 2022 |
On transferability of bias mitigation effects in language model fine-tuning X Jin, F Barbieri, B Kennedy, AM Davani, L Neves, X Ren arXiv preprint arXiv:2010.12864, 2020 | 39* | 2020 |
Nero: A neural rule grounding framework for label-efficient relation extraction W Zhou, H Lin, BY Lin, Z Wang, J Du, L Neves, X Ren Proceedings of The Web Conference 2020, 2166-2176, 2020 | 38 | 2020 |
Learning from explanations with neural execution tree Z Wang, Y Qin, W Zhou, J Yan, Q Ye, L Neves, Z Liu, X Ren arXiv preprint arXiv:1911.01352, 2019 | 30 | 2019 |
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation DH Lee, R Khanna, BY Lin, J Chen, S Lee, Q Ye, E Boschee, L Neves, ... ACL, 2020 | 14 | 2020 |
Train one get one free: Partially supervised neural network for bug report duplicate detection and clustering L Poddar, L Neves, W Brendel, L Marujo, S Tulyakov, P Karuturi NAACL, 2019 | 13 | 2019 |
Data augmentation for cross-domain named entity recognition S Chen, G Aguilar, L Neves, T Solorio arXiv preprint arXiv:2109.01758, 2021 | 12 | 2021 |
Advertiming matters: Examining user ad consumption for effective ad allocations on social media K Saha, Y Liu, N Vincent, FA Chowdhury, L Neves, N Shah, MW Bos Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 11 | 2021 |
CEAM: the effectiveness of cyclic and ephemeral attention models of user behavior on social platforms FA Chowdhury, Y Liu, K Saha, N Vincent, L Neves, N Shah, MW Bos Proceedings of the international AAAI conference on web and social media 15 …, 2021 | 8 | 2021 |
Social factors in closed-network content consumption P Kaghazgaran, M Bos, L Neves, N Shah Proceedings of the 29th ACM International Conference on Information …, 2020 | 7 | 2020 |
Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows. V Silva, L Neves, R Souza, ALGA Coutinho, D de Oliveira, M Mattoso WORKS@ SC, 59-63, 2016 | 7 | 2016 |
Monitoramento de Desempenho usando Dados de Proveniência e de Domínio durante a Execução de Aplicações Científicas R Souza, V Silva, L Neves, D de Oliveira, M Mattoso Anais do XIV Workshop em Desempenho de Sistemas Computacionais e de …, 2015 | 7 | 2015 |
Tweetnlp: Cutting-edge natural language processing for social media J Camacho-Collados, K Rezaee, T Riahi, A Ushio, D Loureiro, D Antypas, ... arXiv preprint arXiv:2206.14774, 2022 | 6 | 2022 |